In this paper, a hardware/software co-design method for approximate semi-supervised k-means clustering is proposed. It makes use of feature constraints to guide ...
In this paper, a hardware/software co-design method for approximate semi-supervised k-means clustering is proposed. It makes use of feature constraints to ...
In this paper, a hardware/software co-design method for approximate semi-supervised k-means clustering is proposed. It makes use of feature constraints to guide ...
Request PDF | On Jul 1, 2018, Pengfei Huang Huang and others published A Hardware/Software Co-design Method for Approximate Semi-Supervised K-Means Clustering |
In this paper, a hardware/software co-design method for approximate semi-supervised k-means clustering is proposed. It makes use of feature constraints to guide ...
A Hardware/Software Co-design Method for Approximate Semi-Supervised K-Means Clustering. Conference Paper. Jul 2018. Pengfei Huang · Chenghua Wang ...
Bibliographic details on A Hardware/Software Co-design Method for Approximate Semi-Supervised K-Means Clustering.
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an approximate circuit. Therefore, a co-design framework for semi-supervised approximate k-means clustering is proposed by using feature constraints. Its ...
Oct 29, 2022 · Approximate (inexact) computing has been advocated as a novel approach for nanocomputing design. Approximate computing generates results that ...
A Hardware/Software Co-Design Method for Approximate Semi-supervised K-Means Clustering:2018 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI),2018.